Instructor Resources

Quantitative Social Science Quantitative Social Science : An Introduction in tidyverse
Kosuke Imai and Nora Webb Williams

If you have assigned this textbook in your course, you may gain access to the instructor resources described on this page by clicking the link below. All requests for instructor access are verified by Princeton University Press. Once you are granted access, you can download all materials listed below, including data sets and base R scripts, and tidyverse scripts by chapter.

If you encounter any errors when submitting the request for access form, please reach out to textbooks@press.princeton.edu. Thank you.

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Instructor Data Files (R and tidyverse)

The downloads below contain the data sets and tidyverse scripts needed to complete exercises for all of the chapters in Quantitative Social Science: An Introduction in tidyverse (and Quantitative Social Science: An Introduction.) Each zip file contains a “Read Me” that provides detail about the other files included.

All Instructor Files (with solutions) [ZIP]

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Chapter 1 Introduction [ZIP] (with solutions)

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Chapter 2 Causality [ZIP] (with solutions)

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Chapter 3 Measurement [ZIP] (with solutions)

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Chapter 4 Prediction [ZIP] (with solutions)

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Chapter 5 Discovery [ZIP] (with solutions)

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Chapter 6 Probability [ZIP] (with solutions)

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Chapter 7 Uncertainty [ZIP] (with solutions)

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Instructor Lecture slides (original Introduction book) [ZIP]

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Student Data Files (R and tidyverse)

This download contains the data sets and tidyverse scripts needed to complete exercises for all of the chapters in Quantitative Social Science: An Introduction in tidyverse. Each zip file contains a “Read Me” that provides detail about the other files included. You may also visit the Student Resources page to access the data files broken out by chapter.

All QSS R & Tidyverse Student Data Files [ZIP]

Download All QSS R & Tidyverse Student Data Files [ZIP]

Errata [ZIP]

Download Errata [ZIP]

Illustration Package

Copyright © Princeton University Press. You may not alter, create derivative works, or make any commercial use of these illustrations. Faculty may use these illustrations for teaching purposes without seeking publisher consent. For other uses, please contact the publisher for written consent at permissions@press.princeton.edu.

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